Correct Answer: BigQuery
BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data....
Correct Answer
BigQuery
Why This Answer Is Correct
BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
This question evaluates your knowledge of BigQuery — a core concept tested in Professional Cloud Architect. Understanding BigQuery is essential for designing scalable, secure, and cost-effective cloud architectures. Mastery of this topic will help you answer scenario-based questions confidently on exam day.
A data analytics team needs to process streaming data from millions of IoT devices. The data arrives at unpredictable intervals and must be analyzed in real-time before being stored in BigQuery. Which architecture is most scalable and cost-effective?
A data warehouse team needs to join data from BigQuery with data stored in a Cloud SQL PostgreSQL instance in real-time. Which BigQuery feature allows this federated query without moving the data?
Your data science team wants to use SQL to build and deploy a machine learning model for predicting customer churn directly where the data resides. They want to avoid complex ETL and data movement. Which service should they use?
To optimize costs for a BigQuery project, you want to identify which queries are consuming the most 'Slots' and which datasets are never accessed. Which tool should you use?
Your company is audit-driven and needs to capture and analyze every SQL query executed against BigQuery for compliance purposes. How can they achieve this?